DRAGON-Spotter

Explore the DRAGON Project's ML Classification Model

Discover the cutting-edge technology behind the Detecting Resistance Against Grooming ONline (DRAGON) Project. Our web interface serves as a gateway to an advanced machine learning classification model, designed to identify conversations involving grooming.

Under the leadership of Professor Nuria Lorenzo-Dus, our team has crafted a user-friendly interface specifically for law enforcement officers. This interface empowers officers to upload and analyze conversations extracted from suspects' devices. The ML model swiftly identifies grooming tactics within these conversations and generates a suspicion score, streamlining the evidence gathering process.

Our intuitive interface allows for convenient organization and viewing of conversations, categorized by participants, platform, or suspicion score. Witness the future of online safety in action—explore our demo today.

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DRAGON Shield